Lead, Enterprise AI & Data Analytics

50092 Heidelberg Materials US, Inc.; Irving (TX); Hybrid; USD 136,000 - 181,000; Full time

Benefits offered by this job

Competitive base salary

401(k) with company match

Medical/Dental/Vision + HSA/HRA

Paid time off

Job summary

Heidelberg Materials is seeking a Senior Analytics Leader to own the strategy and lifecycle of data and AI products across the enterprise. You will lead adoption of Databricks analytics, AI/BI, and semantic capabilities, translating platform value into business outcomes and working with Finance, Commercial, Operations, and Digital teams.

You will establish KPI definitions and governance, drive AI-enabled decision making, and champion data quality and standardization while guiding change

Qualifications

• 5+ years of experience in analytics, business intelligence, data products, enterprise data platforms, finance analytics, digital transformation, or related disciplines.
• 3+ years of experience leading cross-functional initiatives with business stakeholders, data engineering teams, analytics platforms, or data transformation programs.
• Strong understanding of modern enterprise analytics and data platforms; Databricks experience preferred; Snowflake/Azure/Microsoft Fabric experience valued.
• Ability to translate business priorities into scalable data products, governed metrics, dashboards, and AI-enabled solutions.
• Experience designing and governing KPIs, metric definitions, and semantic layers for consistent decision-making.

Responsibilities

• Lead enterprise adoption of Databricks analytics, AI/BI, Genie, and related AI technologies, translating capabilities into business value.
• Partner with Finance, Commercial, Operations, Digital, and Data Engineering to deliver high-impact analytics and AI use cases.
• Own the strategy, roadmap, and lifecycle of business-facing data and AI products from discovery to deployment.
• Establish KPI definitions, semantic models, ontology frameworks, and metric standards for trusted insights.
• Drive AI-powered decision-making with conversational analytics, NLQ, insights, alerts, and recommendations.
• Champion data governance, quality, reconciliation, and standardization across platforms.
• Lead change management, adoption strategies, and user training to enable self-service analytics.

Skills

Databricks

AI/BI

Stakeholder management

Data storytelling

Cross-functional collaboration

Education

Bachelor’s degree in Business/Finance/Analytics/IS/Engineering/CS

Tools

Databricks platform

Snowflake

Microsoft Fabric

Azure data platforms

Job description

Heidelberg Materials is seeking a Senior Analytics Leader to own the strategy and lifecycle of data and AI products across the enterprise. You will lead adoption of Databricks analytics, AI/BI, and semantic capabilities, translating platform value into business outcomes and working with Finance, Commercial, Operations, and Digital teams.

You will establish KPI definitions and governance, drive AI-enabled decision making, and champion data quality and standardization while guiding change